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Based On Shape Sensitivity Analysis Of The Angle Grinder Multidisciplinary Performance Optimization

Posted on:2012-10-19Degree:MasterType:Thesis
Country:ChinaCandidate:F F ZhuangFull Text:PDF
GTID:2131330332984426Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
For the complex working condition of the angle grinder, many factors may affect the operation reliability and safety about the angle grinder, such as mechanical shock, overload and the poor heating flow. As domestic manufacturing industry of electricity tools started late, the starting point is low, and the design method is backward. During practical using, it often occurs that the cooling down time is too long; the motor is vulnerable to damage.To the end, in conjunction with national natural science foundation of China and the practical requirements. This thesis studies the performance of heat dissipation and dust of angle grinding machine, and carries out relevant research about the multidisciplinary design optimization.This thesis includes six chapters. Chapter one presents the research background and significance of the topic and sums up the research work about the MDO at home and abroad and the work of sensitivity analysis and surrogate models. And at last it makes the main research content of this thesis; Chapter two discusses the working steps to MDO. Chapter three builds 3-d model of angle grinder, and do the simulation analysis to its thermal and dust performance to identify the design variables which have greater influence. Chapter four discusses the methods of sensitivity analysis; analyze the design variables of sub-disciplines to determine the important impact factors. Chapter five, objective function is constructed based on system level analysis, then applied the surrogate model, analysis three models, determine the most accurate model, and search the global optimal solution of this models with genetic algorithm. Chapter six makes the conclusion and gives research work of the next step.
Keywords/Search Tags:angle grinder, sensitivity analysis, surrogate model, multidisciplinary design optimization
PDF Full Text Request
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